fix: rename deepseek model from deepseek-chat to deepseek-v4-pro
DeepSeek API deprecated deepseek-chat model. Returns error: 'the supported API model names are deepseek-v4-pro or deepseek-v4-flash' Affected all 4 AI endpoints: - risk-flags (90-day dashboard) - triage-suggest - rca-draft - quality-check Co-Authored-By: Claude <noreply@anthropic.com>
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@@ -109,7 +109,7 @@ export async function POST() {
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let res: Awaited<ReturnType<typeof client.chat.completions.create>>
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try {
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res = await client.chat.completions.create({
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model: 'deepseek-chat',
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model: 'deepseek-v4-pro',
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max_tokens: 2048,
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tools: [{
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type: 'function',
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@@ -178,7 +178,7 @@ ${JSON.stringify(aggregates, null, 2)}
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await withUser(session.sub, async tx =>
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writeAuditLog(tx, 'incidents', session.sub, 'ai_risk_flags',
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{ flags, summary: input.summary, model: 'deepseek-chat' })
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{ flags, summary: input.summary, model: 'deepseek-v4-pro' })
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)
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return NextResponse.json({ flags, summary: input.summary })
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@@ -59,7 +59,7 @@ export async function POST(
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let res: Awaited<ReturnType<typeof client.chat.completions.create>>
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try {
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res = await client.chat.completions.create({
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model: 'deepseek-chat',
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model: 'deepseek-v4-pro',
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max_tokens: 2048,
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tools: [{
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type: 'function',
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@@ -135,7 +135,7 @@ Provide 3–5 Why steps drilling from immediate cause to root cause. Give a one-
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await withUser(session.sub, async tx => {
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await writeAuditLog(tx, 'incidents', id, 'ai_rca_draft', {
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root_cause_summary: draft.root_cause_summary as string,
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model: 'deepseek-chat',
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model: 'deepseek-v4-pro',
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})
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})
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@@ -50,7 +50,7 @@ export async function POST(
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let res: Awaited<ReturnType<typeof client.chat.completions.create>>
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try {
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res = await client.chat.completions.create({
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model: 'deepseek-chat',
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model: 'deepseek-v4-pro',
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max_tokens: 1024,
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tools: [{
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type: 'function',
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@@ -118,7 +118,7 @@ Suggest severity (1–5) and tick the appropriate NADOPOD 2004 flags. Give a one
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}
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await withUser(session.sub, async tx => {
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await writeAuditLog(tx, 'incidents', id, 'ai_triage_suggest', { suggestion: input, model: 'deepseek-chat' })
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await writeAuditLog(tx, 'incidents', id, 'ai_triage_suggest', { suggestion: input, model: 'deepseek-v4-pro' })
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})
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return NextResponse.json(input)
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@@ -42,7 +42,7 @@ export async function POST(request: NextRequest) {
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let res: Awaited<ReturnType<typeof client.chat.completions.create>>
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try {
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res = await client.chat.completions.create({
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model: 'deepseek-chat',
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model: 'deepseek-v4-pro',
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max_tokens: 1024,
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tools: [{
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type: 'function',
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@@ -99,7 +99,7 @@ Score 1–10 based on: specificity (location, time, persons involved), completen
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// audit write uses session.sub as a pseudo record-id (no incident_id at this stage)
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await withUser(session.sub, async tx => {
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await writeAuditLog(tx, 'incidents', session.sub, 'ai_quality_check', {
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score: input.score, passes: input.passes, model: 'deepseek-chat',
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score: input.score, passes: input.passes, model: 'deepseek-v4-pro',
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})
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})
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